The AI-augmented analyst

AI for Data Analysts

Andy Cotgreave

Author and Speaker, Former Technical Evangelist at Tableau

Meet your instructor...

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AI for Data Analysts

The journey ahead

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→ Use AI across the full data analysis cycle

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  • Videos → Gemini and Claude
    • Principles apply to any tool you use
AI for Data Analysts

The journey ahead

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  • Exercises → DataCamp's AI analytics tool

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AI for Data Analysts

The data analysis workflow

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AI for Data Analysts

The data analysis workflow, augmented

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AI for Data Analysts

Natural language data exploration

 

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  • Conversation-driven exploration

 

Before: Blank screens + SQL from-scratch

After: Asking the right questions

 

Goal: more time on planning and decisions, less time on implementation

AI for Data Analysts

Understand and clean your data

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Data Exploration

  • Infer field descriptions and logic
  • Spot anomalies

Later: data dictionaries and semantic layers

AI for Data Analysts

Understand and clean your data

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Data Cleaning

  • Fix spelling and formatting
  • Identify duplicates and rogue entries
AI for Data Analysts

Find insights

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AI for Data Analysts

Build and share: dashboards, apps, and stories

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AI for Data Analysts

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AI for Data Analysts

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AI for Data Analysts

The AI application landscape

AI for Data Analysts
AI for Data Analysts

The AI application landscape

AI for Data Analysts

Challenges... and how we'll tackle them

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  • Hallucinations can leak into calculations and stories
AI for Data Analysts

Challenges... and how we'll tackle them

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  • Hallucinations can leak into calculations and stories
  • Probabilistic → same prompt, different results
AI for Data Analysts

Challenges... and how we'll tackle them

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  • Hallucinations can leak into calculations and stories
  • Probabilistic → same prompt, different results
  • Lacks context → your data, your intent
  • Integrations + good prompting close the gap → this course covers both
AI for Data Analysts

Let's practice!

AI for Data Analysts

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